Chemical Master Equation for Large Biological Networks - State-space Expansion Methods Using AI (Hardcover, 1st ed. 2021)

This book highlights the theory and practical applications of the chemical master equation (CME) approach for very large biochemical networks, which provides a powerful general framework for model building in a variety of biological networks. The aim of the book is to not only highlight advanced numerical solution methods for the CME, but also reveal their potential by means of practical examples. The case studies presented are mainly from biology; however, the applications from novel methods are discussed comprehensively, underlining the interdisciplinary approach in simulation and the potential of the chemical master equation approach for modelling bionetworks. The book is a valuable guide for researchers, graduate students, and professionals alike.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	October 2021
First published:	2021
Authors:	Don Kulasiri • Rahul Kosarwal
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	217
Edition:	1st ed. 2021
ISBN-13:	978-981-16-5350-6
Categories:	Books > Science & Mathematics > Physics > General Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	981-16-5350-X
Barcode:	9789811653506

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